@inproceedings{fd008357fd2f4b93bc631f2f5570dc66,
title = "Acquiring innovation knowledge",
abstract = "There are few possibilities for acquiring knowledge related to innovation. Firstly, acquiring knowledge using machine learning typically requires structured and classified data and/or cases, and lots of them. Secondly, manual acquisition of knowledge requires human expertise. Both approaches seem impractical when it comes to innovation knowledge. While innovation is recognized as a vital part of sustainability within organizations, there is little assistance with how we can acquire, reuse or share the innovation knowledge that may exist. We suggest a technique and present preliminary results of an evaluation study using this approach.",
keywords = "innovation knowledge, knowledge acquisition",
author = "Peter Busch and Deborah Richards",
year = "2006",
language = "English",
isbn = "9783540689553",
volume = "4303 LNAI",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer, Springer Nature",
pages = "252--257",
editor = "Achim Hoffmann and Byeong-ho Kang and Debbie Richards and S Tsumoto",
booktitle = "Advances in Knowledge Acquisition and Management",
address = "United States",
note = "Pacific Rim Knowledge Acquisition Workshop ; Conference date: 07-08-2006 Through 08-08-2006",
}